Fixed.

app.py

@@ -2,16 +2,32 @@
 
 import gradio as gr
 
-from transformers import AutoModelWithLMHead, AutoTokenizer
+# Create a text input
+text_input = gr.inputs.Textbox(lines=2, label="Enter your text:")
 
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
-model = AutoModelWithLMHead.from_pretrained("microsoft/DialoGPT-medium")
+# Create a ChatGPT object
+chatgpt = gr.ChatGPT()
 
-def chatbot(input_text):
-    input_ids = tokenizer.encode(input_text, return_tensors='pt')
-    output = model.generate(input_ids, max_length=50, do_sample=True, top_k=50, top_p=0.95, num_return_sequences=3)
-    output_text = tokenizer.decode(output[0], skip_special_tokens=True)
-    return output_text
+# Create a text output
+text_output = gr.outputs.Textbox(label="ChatGPT Output:")
 
-iface = gr.Interface(fn=chatbot, inputs="text", outputs="text", description="ChatGPT")
-iface.launch()
+# Create a button
+button = gr.inputs.Button(label="Submit")
+
+# Create a form
+form = gr.Interface(
+    text_input,
+    button,
+    text_output,
+    title="ChatGPT",
+    description="Chat with a GPT-3 model"
+)
+
+# Define the function that will be called when the button is clicked
+def process_input(values):
+    text = values["text_input"]
+    response = chatgpt.chat(text)
+    return {"text_output": response}
+
+# Launch the form
+form.launch(process_input)